用于自供电医疗监测的 ZnO 纳米颗粒受限应力放大全纤维压电纳米发电机,Sustainable Energy & Fuels

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用于自供电医疗监测的 ZnO 纳米颗粒受限应力放大全纤维压电纳米发电机
Sustainable Energy & Fuels ( IF 5.0 ) Pub Date : 2021-07-24 , DOI: 10.1039/d1se00444a
Biswajit Mahanty _{1,

2} , Sujoy Kumar Ghosh ₁ , Santanu Jana ₃ , Zinnia Mallick ₄ , Subrata Sarkar ₁ , Dipankar Mandal ₄

Affiliation

在这项工作中，通过使用 ZnO 纳米粒子 (NPs) 增强的聚偏二氟乙烯 (PVDF) 电纺纳米纤维作为活性层和互锁的导电超细纤维复合垫作为电极，设计了一种全纤维压电纳米发电机 (A-PNG)。机械能转化为电能。对应力分布使用有限元分析的理论模拟表明，与周围的纯 PVDF 相比，外部应力可以集中使 ZnO 纳米颗粒变形 7.2 倍，从而改善所得 PVDF-ZnO 复合纳米纤维中应力引起的大极化，因此提高发电量。纳米级研究表明，使用 PVDF-ZnO 复合纳米纤维可以产生优异的铁电和压电电性能，d ₃₃ = -32 pC N ^-1。因此，A-PNG 显示出高电吞吐量，具有 18 V 的开路输出电压、26.7 μW cm ^-2的输出功率密度和 11.52 × 10 ^-12 Pa ^-1压电品质因数 (FoM)。此外，91% 的优异机械到电能转换效率意味着该系统适用于驱动一系列消费电子元件，例如电容器和发光二极管 (LED)。10 毫秒的快速响应时间意味着在医疗监控系统中进行超快速信号检测是可行的。由于手腕、手指、喉咙和膝盖等不同身体部位的皮肤贴合功能，A-PNG 被发现在检测脉搏率、肌肉行为和咳嗽信号特征以监测的应用方面很有吸引力。健康状况。

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ZnO nanoparticle confined stress amplified all-fiber piezoelectric nanogenerator for self-powered healthcare monitoring

In this work, an all-fiber piezoelectric nanogenerator (A-PNG) is designed by using ZnO nanoparticles (NPs) reinforced poly(vinylidene fluoride) (PVDF) electrospun nanofibers as the active layer and interlocked conducting microfiber composite mats as electrodes to convert the mechanical energy into electrical power. Theoretical simulation using finite element analysis on stress distribution shows that the external stress can be concentrated to deform ZnO nanoparticles by 7.2 fold of magnitude compared to the surrounding neat PVDF, improving the stress-induced large polarization in the resulting PVDF–ZnO composite nanofibers, thus enabling improved generation of electricity. Nano-scale investigation revealed superior generation of ferro- and piezo-electricity using the PVDF–ZnO composite nanofibers, showing an excellent piezoelectric charge coefficient of d₃₃ = −32 pC N⁻¹. As a result, the A-PNG shows a high electrical throughput, with 18 V of open-circuit output voltage, 26.7 μW cm⁻² of output power density, and 11.52 × 10⁻¹² Pa⁻¹ for the piezoelectric figure of merit (FoM). In addition, the excellent mechanical to the electrical energy conversion efficiency of 91%, means that the system is suitable for driving a range of consumer electronics components, such as capacitors and light-emitting diodes (LEDs). The quick response time of 10 ms means it is feasible for ultra-fast signal detection in a healthcare monitoring system. Owing to the skin conformable functionality on different body parts, such as wrists, fingers, throat, and knees, the A-PNG was found to be attractive for application in detecting the pulse rate, muscle behavior, and coughing signal characteristics in order to monitor health conditions. The robust device structure means the A-PNG can be used as a weight monitoring sensor as it is able to predict the weight of a person in a weight range between 45 and 80 kg.

更新日期：2021-08-05

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